Journal article
Optimizing the detection of carotene in cyanobacteria in a martian regolith analogue with a Raman spectrometer for the ExoMars mission
Planetary and space science, Vol.60(1), pp.356-362
01/2012
Handle:
https://hdl.handle.net/2376/106690
Abstract
The Raman Laser Spectrometer (RLS) onboard ExoMars 2018 will perform measurements on Mars to identify organic compounds and mineral products as an indication of former and recent biological activity. The measurements will be performed on crushed powdered samples inside the Rover's ALD (Analytical Laboratory Drawer). Here we show the identification of β-carotene present in cyanobacteria with a Raman spectrometer under Mars analogue conditions and develop a procedure how to optimize their detection and the detection of various minerals in different types of martian soils.
► We performed Raman measurements on Mars analogue material with cyanobacteria. ► β-Carotene present in cyanobacteria could be discriminated from the mineral background. ► A measurement regime is proposed for martian analogue material with cyanobacteria.
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Details
- Title
- Optimizing the detection of carotene in cyanobacteria in a martian regolith analogue with a Raman spectrometer for the ExoMars mission
- Creators
- U Böttger - German Aerospace Center DLR e.V, Institute of Planetary Research, Rutherfordstr. 2, 12489 Berlin, GermanyJ.-P de Vera - German Aerospace Center DLR e.V, Institute of Planetary Research, Rutherfordstr. 2, 12489 Berlin, GermanyJ Fritz - Museum für Naturkunde, Leibniz-Institute an der Humboldt Universität zu Berlin, Invalidenstraße 43, 10115 Berlin, GermanyI Weber - Institute of Planetology, Wilhelm-Klemm-Str. 10, 48149Münster, GermanyH.-W Hübers - German Aerospace Center DLR e.V, Institute of Planetary Research, Rutherfordstr. 2, 12489 Berlin, GermanyD Schulze-Makuch - German Aerospace Center DLR e.V, Institute of Planetary Research, Rutherfordstr. 2, 12489 Berlin, Germany
- Publication Details
- Planetary and space science, Vol.60(1), pp.356-362
- Academic Unit
- UNKNOWN
- Publisher
- Elsevier Ltd
- Identifiers
- 99900546730101842
- Language
- English
- Resource Type
- Journal article